2

Computational Scientist Remote Jobs in Raleigh, NC

Remote work options within the US are available with a strong preference towards NC, MA, and NJ. At ... Life sciences background, causal inference methods, computational/AI epidemiology highly valued ...

Remote work options within the US are available with a strong preference towards NC, MA, and NJ. At ... Life sciences background, causal inference methods, computational/AI epidemiology highly valued ...

Remote work options within the US are available with a strong preference towards NC, MA, and NJ. At ... Life sciences background, causal inference methods, computational/AI epidemiology highly valued ...

Remote work options within the US are available with a strong preference towards NC, MA, and NJ. At ... Life sciences background, causal inference methods, computational/AI epidemiology highly valued ...

Computational Scientist Remote information

See Raleigh, NC salary details

$49.1K

$108.2K

$133.7K

How much do computational scientist remote jobs pay per year?

As of Jun 28, 2026, the average yearly pay for computational scientist remote in Raleigh, NC is $108,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,900.00 and $133,200.00 per year, depending on experience, location, and employer.

What is a Computational Scientist and what do they do?

A Computational Scientist is a professional who uses advanced computing techniques, mathematical models, and simulations to solve complex problems in science and engineering. They develop algorithms, write code, and analyze large datasets to gain insights in fields like physics, biology, chemistry, and more. Working remotely, they collaborate with research teams, utilize high-performance computing resources, and often contribute to scientific publications. Their work is critical in accelerating discoveries and innovations by transforming raw data into actionable knowledge.

How do Computational Scientists collaborate with multidisciplinary teams in a remote work setting?

Computational Scientists often work closely with researchers, data analysts, and software engineers, even when working remotely. Effective collaboration typically involves regular virtual meetings, shared code repositories, and collaborative project management tools to ensure alignment on research goals and methodologies. Daily responsibilities may include discussing data findings, troubleshooting models, and integrating diverse expertise into computational solutions. Remote teams often leverage communication platforms to maintain a strong sense of teamwork and project momentum.

What is the difference between Computational Scientist Remote vs Data Scientist?

AspectComputational Scientist RemoteData Scientist
Required CredentialsAdvanced degrees in science, engineering, or related fields; programming skillsDegree in statistics, computer science, or related fields; programming and analytical skills
Work EnvironmentRemote, research-focused, often in scientific or technical industriesRemote or on-site, business or tech industries, data analysis focus
Employer & Industry UsageResearch institutions, scientific companies, government labsTech companies, finance, healthcare, consulting firms
Common Search & Comparison IntentUnderstanding roles, skills, and remote opportunitiesJob responsibilities, skills, and industry applications

While both roles involve data analysis and programming, Computational Scientists Remote focus on scientific research and simulations, often in research or technical industries. Data Scientists typically analyze business data to inform decisions. The roles overlap in skills like programming and statistical analysis but differ in industry focus and work environment.

What are the key skills and qualifications needed to thrive as a Computational Scientist in a remote role, and why are they important?

To thrive as a Computational Scientist remotely, you need a strong background in mathematics, programming (such as Python or C++), and domain-specific scientific knowledge, often supported by an advanced degree in a STEM field. Familiarity with high-performance computing environments, data analysis tools, and version control systems like Git is typically required. Excellent problem-solving, self-motivation, and effective virtual communication are crucial soft skills for remote collaboration and productivity. These competencies ensure accurate scientific modeling, efficient teamwork, and successful project outcomes in a distributed work setting.
What are the most commonly searched types of Computational Scientist jobs in Raleigh, NC? The most popular types of Computational Scientist jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Computational Scientist Remote jobs? Cities near Raleigh, NC with the most Computational Scientist Remote job openings:
Infographic showing various Computational Scientist Remote job openings in Raleigh, NC as of June 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $108,234 per year, or $52 per hour.

Staff ML Scientist - Neuromorphic Computing & Spiking Neural Networks

Triangle Workforce

Durham, NC โ€ข Remote

Full-time

Posted 17 days ago


Job description

We are hiring a Staff ML Scientist to lead research and development of spiking neural network (SNN) architectures for ultra-low-power, real-time edge inference. This rare role sits at the convergence of computational neuroscience and production machine learning, requiring expertise in neuromorphic hardware platforms (Intel Loihi 2, BrainChip Akida, SynSense), temporal coding schemes, and spike-timing-dependent plasticity (STDP) learning rules.


You will design brain-inspired ML models that achieve orders-of-magnitude improvements in energy efficiency over traditional deep learning for time-series, sensor fusion, and event-driven vision applications.


Candidates must have hands-on experience training and deploying SNNs, deep familiarity with frameworks like Norse, snnTorch, or Lava, and ideally published work in neuromorphic engineering or computational neuroscience. PhD required. Experience bridging the gap between neuromorphic research prototypes and production-ready inference systems is critical.


Key Skills: Spiking Neural Networks, Neuromorphic Computing, Intel Loihi, snnTorch, Norse, Lava, Edge ML, Sensor Fusion, PyTorch, STDP


This is a remote-first position based in North Carolina.